NVIDIA · Ada Lovelace · Data centre

NVIDIA L40S

An Ada Lovelace PCIe card for inference, fine-tuning, and graphics workloads, with FP8 support and no NVLink.

48 GB memory1 variant6 sellers

01 / SPECIFICATIONS

What the hardware holds

Memory
48 GB
Memory bandwidth
0.86 TB/s
FP8 dense
733 TFLOPS
FP16 / BF16 dense
362.05 TFLOPS
Variant
L40S
Memory type
GDDR6 (ECC)
Form factor
PCIe dual-slot, 4.4" x 10.5", passive
Interconnect
PCIe Gen4 x16 64 GB/s
Max power
350 W
Source notes for L40S

Product page spec table lists FP16/BF16 Tensor '362.05 | 733*' and FP8 '733 | 1,466*' (* with sparsity); first value dense. Bandwidth 864 GB/s. Max power consumption 350 W. No NVLink. Peak rates based on GPU boost clock.

Compute figures are dense, without sparsity. NVIDIA source for L40S Checked 8 Nov 2026.

02 / MEMORY FIT

How many do you need to hold a model?

L40S GPUs needed to hold model weights
Model sizeFP16 / BF16FP8INT4
8B parameters1 GPU16 GB of weights1 GPU8 GB of weights1 GPU4 GB of weights
70B parameters4 GPUs140 GB of weights2 GPUs70 GB of weights1 GPU35 GB of weights
405B parameters21 GPUs810 GB of weights11 GPUs405 GB of weights6 GPUs203 GB of weights

GPUs = parameters × bytes per parameter × 1.2 headroom ÷ 48 GB, rounded up. This covers weights only. Long contexts, large batches, and training need much more memory.

03 / OFFERS

Reviewed on-demand rates

Reviewed on-demand rates for NVIDIA L40S
ProviderConfigurationStatusSource
RunpodL40S1× L40S Pod · 48 GB$1.09$1.09 ÷ 1 GPU$1.091 GPUStock not verifiedRate card
DigitalOceanL40S1× L40S on-demand Droplet · 48 GB$1.57Published per GPU-hour$1.571 GPUStock not verifiedRate card

Per GPU-hour divides a machine's hourly price by its GPU count, so single GPUs and 8-GPU nodes compare fairly. The billed price is what one machine costs per hour. Storage, network transfer, and minimum terms can add to the bill.

04 / SELLERS

Who lists the L40S

CoreWeave, Nebius, Crusoe, Vast.ai list the L40S without a rate we have reviewed. Ask them for a quote, especially for clusters of 8 or more GPUs.

05 / COMPARE WITH